In subsequent experiments, we use the best-performing \(b\)  to configure our method in each scenario, which are marked with big dots in Fig. REF . For the choice of \(s\) , length of the sub-vectors in the traditional coded convolution strategy, we follow the selection guideline provided in [1]} and set \(s\)  as the integer from range \([\sqrt{\frac{N_{1}N_{2}}{P}},\min ({N_{1},N{2})}]\)  that maximizes \(|\epsilon (s)|\) , where \(\epsilon (s)\)  is given by:
\(\epsilon (s) = -\sum _{j=1}^{P} \frac{(\frac{Ps}{N_2} - \frac{N_1}{s} + 1)\mu _{j}^{\alpha _{j}}}{P((2Cs)\log (2s))^{\alpha _{j}}} \nonumber \) 
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